From the 1 of 10 linked papers with an AI index.
10 papers
Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices
Floriaan Bulten, Yawar Rasheed, Arlene John +2
The paper proposes using reduced data precision and approximate multipliers in a deep‑learning model to lower the power consumption of wearable arrhythmia detectors while keeping h…
Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations
Nada Zine, Tristan Coignion, Vincenzo Stoico +4
Large Language Models are reshaping how software is developed and maintained. They are typically deployed in production using inference engines such as vLLM, which can efficiently…
Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time
Muhammad Imran, Vincenzo Stoico, Ivano Malavolta
The increasing energy demand of software systems is raising concerns about their environmental impact and associated costs. Reasoning on energy usage early in the development flow…
What Is the Cost of Energy Monitoring? An Empirical Study on the Overhead of RAPL-Based Tools
Jeremy Diamond, Vincenzo Stoico
The Running Average Power Limit (RAPL) interface is widely used to estimate software energy consumption via CPU and DRAM counters, but tool design differences and high-frequency po…
Toward an Architectural Blueprint to Observe Sustainability in and by Software Systems
Klervie Toczé, Andrei Dragomir, Vincenzo Stoico +1
Enabling observability in software systems brings many benefits. It can, for example, ease the identification of issues or the implementation of improvements. It is especially crit…
An Empirical Study on How Architectural Topology Affects Microservice Performance and Energy Usage
Irena Ristova, Vincenzo Stoico
Microservice architectures form the backbone of modern software systems for their scalability, resilience, and maintainability, but their rise in cloud-native environments raises e…